Assemble chunked output into final NM3 file
AI agents use assemble_chunks to create or update resources in Markdown3D MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Markdown3D MCP Server environment.
This tool combines previously processed chunks into a final output file, creating/writing a new NM3 file. It is a Write operation as it produces a new artifact from existing data. The severity is medium because misuse could overwrite or corrupt output files, but it does not irreversibly destroy source data.
From the tool's definition Assemble chunked output into final NM3 file
Attacks that exploit this kind of access
Assemble chunked output into final NM3 file. It is categorised as a Write tool in the Markdown3D MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Markdown3D MCP Server MCP server in PolicyLayer and add a rule for assemble_chunks: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Markdown3D MCP Server. Nothing to install.
assemble_chunks is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the assemble_chunks rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for assemble_chunks. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
assemble_chunks is provided by the Markdown3D MCP Server MCP server (mushroomfleet/markdown3d-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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